Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	4119
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	675.9 KiB
Average record size in memory	168.0 B

Variable types

NUM	10
CAT	10
BOOL	1

Warnings

`euribor3m` is highly correlated with `emp.var.rate` and 1 other fields	High correlation
`emp.var.rate` is highly correlated with `euribor3m`	High correlation
`nr.employed` is highly correlated with `euribor3m`	High correlation
`previous` has 3523 (85.5%) zeros	Zeros

Reproduction

Analysis started	2020-10-02 08:11:38.579598
Analysis finished	2020-10-02 08:12:04.139149
Duration	25.56 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

age
Real number (ℝ_≥0)

Distinct	67
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40.11361981
Minimum	18
Maximum	88
Zeros	0
Zeros (%)	0.0%
Memory size	32.2 KiB

Quantile statistics

Minimum	18
5-th percentile	26
Q1	32
median	38
Q3	47
95-th percentile	58
Maximum	88
Range	70
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.31336155
Coefficient of variation (CV)	0.2571037367
Kurtosis	0.4381297604
Mean	40.11361981
Median Absolute Deviation (MAD)	7
Skewness	0.7156939791
Sum	165228
Variance	106.3654264
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	216	5.2%
31	191	4.6%
30	177	4.3%
34	174	4.2%
35	172	4.2%
33	170	4.1%
36	168	4.1%
38	150	3.6%
41	147	3.6%
29	139	3.4%
Other values (57)	2415	58.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	3	0.1%
19	1	< 0.1%
20	4	0.1%
21	7	0.2%
22	10	0.2%

Value	Count	Frequency (%)
88	1	< 0.1%
86	2	< 0.1%
85	1	< 0.1%
82	2	< 0.1%
81	3	0.1%

job
Categorical

Distinct	12
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

admin.	1012
blue-collar	884
technician	691
services	393
management	324
Other values (7)	815

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
admin.	1012	24.6%
blue-collar	884	21.5%
technician	691	16.8%
services	393	9.5%
management	324	7.9%
retired	166	4.0%
self-employed	159	3.9%
entrepreneur	148	3.6%
unemployed	111	2.7%
housemaid	110	2.7%
Other values (2)	121	2.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	13
Median length	10
Mean length	8.992959456
Min length	6

marital
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

married	2509
single	1153
divorced	446
unknown	11

Frequencies
Length

Value	Count	Frequency (%)
married	2509	60.9%
single	1153	28.0%
divorced	446	10.8%
unknown	11	0.3%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	8
Median length	7
Mean length	6.828356397
Min length	6

education
Categorical

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

university.degree	1264
high.school	921
basic.9y	574
professional.course	535
basic.4y	429
Other values (3)	396

Frequencies
Length

Value	Count	Frequency (%)
university.degree	1264	30.7%
high.school	921	22.4%
basic.9y	574	13.9%
professional.course	535	13.0%
basic.4y	429	10.4%
basic.6y	228	5.5%
unknown	167	4.1%
illiterate	1	< 0.1%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	19
Median length	11
Mean length	12.82131585
Min length	7

default
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

no	3315
unknown	803
yes	1

Frequencies
Length

Value	Count	Frequency (%)
no	3315	80.5%
unknown	803	19.5%
yes	1	< 0.1%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	7
Median length	2
Mean length	2.974993931
Min length	2

housing
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

yes	2175
no	1839
unknown	105

Frequencies
Length

Value	Count	Frequency (%)
yes	2175	52.8%
no	1839	44.6%
unknown	105	2.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	7
Median length	3
Mean length	2.655498908
Min length	2

loan
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

no	3349
yes	665
unknown	105

Frequencies
Length

Value	Count	Frequency (%)
no	3349	81.3%
yes	665	16.1%
unknown	105	2.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	7
Median length	2
Mean length	2.288905074
Min length	2

contact
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

cellular	2652
telephone	1467

Frequencies
Length

Value	Count	Frequency (%)
cellular	2652	64.4%
telephone	1467	35.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	9
Median length	8
Mean length	8.356154406
Min length	8

month
Categorical

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

may	1378
jul	711
aug	636
jun	530
nov	446
Other values (5)	418

Frequencies
Length

Value	Count	Frequency (%)
may	1378	33.5%
jul	711	17.3%
aug	636	15.4%
jun	530	12.9%
nov	446	10.8%
apr	215	5.2%
oct	69	1.7%
sep	64	1.6%
mar	48	1.2%
dec	22	0.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	3
Median length	3
Mean length	3
Min length	3

day_of_week
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

thu	860
mon	855
tue	841
wed	795
fri	768

Frequencies
Length

Value	Count	Frequency (%)
thu	860	20.9%
mon	855	20.8%
tue	841	20.4%
wed	795	19.3%
fri	768	18.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	3
Median length	3
Mean length	3
Min length	3

duration
Real number (ℝ_≥0)

Distinct	828
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	256.7880554
Minimum	0
Maximum	3643
Zeros	1
Zeros (%)	< 0.1%
Memory size	32.2 KiB

Quantile statistics

Minimum	0
5-th percentile	35
Q1	103
median	181
Q3	317
95-th percentile	740.2
Maximum	3643
Range	3643
Interquartile range (IQR)	214

Descriptive statistics

Standard deviation	254.7037361
Coefficient of variation (CV)	0.9918831145
Kurtosis	20.76192927
Mean	256.7880554
Median Absolute Deviation (MAD)	92
Skewness	3.294781323
Sum	1057710
Variance	64873.99319
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	24	0.6%
112	23	0.6%
73	22	0.5%
81	21	0.5%
90	20	0.5%
83	20	0.5%
122	20	0.5%
145	20	0.5%
113	20	0.5%
131	19	0.5%
Other values (818)	3910	94.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
4	1	< 0.1%
5	4	0.1%
6	5	0.1%
7	4	0.1%

Value	Count	Frequency (%)
3643	1	< 0.1%
3253	1	< 0.1%
2653	1	< 0.1%
2301	1	< 0.1%
1980	1	< 0.1%

campaign
Real number (ℝ_≥0)

Distinct	25
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.537266327
Minimum	1
Maximum	35
Zeros	0
Zeros (%)	0.0%
Memory size	32.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	35
Range	34
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.568159238
Coefficient of variation (CV)	1.012175667
Kurtosis	25.28452046
Mean	2.537266327
Median Absolute Deviation (MAD)	1
Skewness	4.003184952
Sum	10451
Variance	6.59544187
Monotocity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
1	1764	42.8%
2	1039	25.2%
3	549	13.3%
4	291	7.1%
5	142	3.4%
6	99	2.4%
7	60	1.5%
8	36	0.9%
9	32	0.8%
10	20	0.5%
Other values (15)	87	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1764	42.8%
2	1039	25.2%
3	549	13.3%
4	291	7.1%
5	142	3.4%

Value	Count	Frequency (%)
35	1	< 0.1%
29	2	< 0.1%
27	1	< 0.1%
24	1	< 0.1%
23	2	< 0.1%

pdays
Real number (ℝ_≥0)

Distinct	21
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	960.4221899
Minimum	0
Maximum	999
Zeros	2
Zeros (%)	< 0.1%
Memory size	32.2 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	999
median	999
Q3	999
95-th percentile	999
Maximum	999
Range	999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	191.9227858
Coefficient of variation (CV)	0.1998316863
Kurtosis	20.81248388
Mean	960.4221899
Median Absolute Deviation (MAD)	0
Skewness	-4.775139161
Sum	3955979
Variance	36834.35571
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
999	3959	96.1%
3	52	1.3%
6	42	1.0%
4	14	0.3%
7	10	0.2%
10	8	0.2%
12	5	0.1%
5	4	0.1%
2	4	0.1%
9	3	0.1%
Other values (11)	18	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	3	0.1%
2	4	0.1%
3	52	1.3%
4	14	0.3%

Value	Count	Frequency (%)
999	3959	96.1%
21	1	< 0.1%
19	1	< 0.1%
18	2	< 0.1%
17	1	< 0.1%

previous
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1903374605
Minimum	0
Maximum	6
Zeros	3523
Zeros (%)	85.5%
Memory size	32.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5417883234
Coefficient of variation (CV)	2.846461868
Kurtosis	22.12032347
Mean	0.1903374605
Median Absolute Deviation (MAD)	0
Skewness	4.022978833
Sum	784
Variance	0.2935345874
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	3523	85.5%
1	475	11.5%
2	78	1.9%
3	25	0.6%
4	14	0.3%
6	2	< 0.1%
5	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3523	85.5%
1	475	11.5%
2	78	1.9%
3	25	0.6%
4	14	0.3%

Value	Count	Frequency (%)
6	2	< 0.1%
5	2	< 0.1%
4	14	0.3%
3	25	0.6%
2	78	1.9%

poutcome
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

nonexistent	3523
failure	454
success	142

Frequencies
Length

Value	Count	Frequency (%)
nonexistent	3523	85.5%
failure	454	11.0%
success	142	3.4%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	11
Median length	11
Mean length	10.42121874
Min length	7

emp.var.rate
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.0849720806
Minimum	-3.4
Maximum	1.4
Zeros	0
Zeros (%)	0.0%
Memory size	32.2 KiB

Quantile statistics

Minimum	-3.4
5-th percentile	-2.9
Q1	-1.8
median	1.1
Q3	1.4
95-th percentile	1.4
Maximum	1.4
Range	4.8
Interquartile range (IQR)	3.2

Descriptive statistics

Standard deviation	1.563114456
Coefficient of variation (CV)	18.39562413
Kurtosis	-1.041783886
Mean	0.0849720806
Median Absolute Deviation (MAD)	0.3
Skewness	-0.7276878782
Sum	350
Variance	2.443326802
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.4	1626	39.5%
-1.8	883	21.4%
1.1	758	18.4%
-0.1	392	9.5%
-2.9	164	4.0%
-3.4	104	2.5%
-1.7	87	2.1%
-1.1	83	2.0%
-3	21	0.5%
-0.2	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-3.4	104	2.5%
-3	21	0.5%
-2.9	164	4.0%
-1.8	883	21.4%
-1.7	87	2.1%

Value	Count	Frequency (%)
1.4	1626	39.5%
1.1	758	18.4%
-0.1	392	9.5%
-0.2	1	< 0.1%
-1.1	83	2.0%

cons.price.idx
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	93.5797043
Minimum	92.201
Maximum	94.767
Zeros	0
Zeros (%)	0.0%
Memory size	32.2 KiB

Quantile statistics

Minimum	92.201
5-th percentile	92.713
Q1	93.075
median	93.749
Q3	93.994
95-th percentile	94.465
Maximum	94.767
Range	2.566
Interquartile range (IQR)	0.919

Descriptive statistics

Standard deviation	0.579348805
Coefficient of variation (CV)	0.0061909664
Kurtosis	-0.8233578937
Mean	93.5797043
Median Absolute Deviation (MAD)	0.38
Skewness	-0.2166414217
Sum	385454.802
Variance	0.3356450378
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
93.994	758	18.4%
93.918	667	16.2%
92.893	597	14.5%
93.444	528	12.8%
94.465	431	10.5%
93.2	386	9.4%
93.075	201	4.9%
92.201	75	1.8%
92.963	75	1.8%
92.431	43	1.0%
Other values (16)	358	8.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
92.201	75	1.8%
92.379	25	0.6%
92.431	43	1.0%
92.469	14	0.3%
92.649	36	0.9%

Value	Count	Frequency (%)
94.767	24	0.6%
94.601	20	0.5%
94.465	431	10.5%
94.215	30	0.7%
94.199	39	0.9%

cons.conf.idx
Real number (ℝ)

Distinct	26
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-40.49910172
Minimum	-50.8
Maximum	-26.9
Zeros	0
Zeros (%)	0.0%
Memory size	32.2 KiB

Quantile statistics

Minimum	-50.8
5-th percentile	-47.1
Q1	-42.7
median	-41.8
Q3	-36.4
95-th percentile	-33.6
Maximum	-26.9
Range	23.9
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.594577507
Coefficient of variation (CV)	-0.1134488745
Kurtosis	-0.3143030044
Mean	-40.49910172
Median Absolute Deviation (MAD)	4.4
Skewness	0.2873090796
Sum	-166815.8
Variance	21.11014247
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
-36.4	758	18.4%
-42.7	667	16.2%
-46.2	597	14.5%
-36.1	528	12.8%
-41.8	431	10.5%
-42	386	9.4%
-47.1	201	4.9%
-31.4	75	1.8%
-40.8	75	1.8%
-26.9	43	1.0%
Other values (16)	358	8.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-50.8	24	0.6%
-50	25	0.6%
-49.5	20	0.5%
-47.1	201	4.9%
-46.2	597	14.5%

Value	Count	Frequency (%)
-26.9	43	1.0%
-29.8	25	0.6%
-30.1	36	0.9%
-31.4	75	1.8%
-33	21	0.5%

euribor3m
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	234
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.621355669
Minimum	0.635
Maximum	5.045
Zeros	0
Zeros (%)	0.0%
Memory size	32.2 KiB

Quantile statistics

Minimum	0.635
5-th percentile	0.8084
Q1	1.334
median	4.857
Q3	4.961
95-th percentile	4.966
Maximum	5.045
Range	4.41
Interquartile range (IQR)	3.627

Descriptive statistics

Standard deviation	1.733591223
Coefficient of variation (CV)	0.4787133276
Kurtosis	-1.396366286
Mean	3.621355669
Median Absolute Deviation (MAD)	0.108
Skewness	-0.7150798684
Sum	14916.364
Variance	3.005338527
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.857	274	6.7%
4.963	256	6.2%
4.962	237	5.8%
4.961	212	5.1%
4.856	138	3.4%
4.965	114	2.8%
4.964	110	2.7%
1.405	106	2.6%
4.96	105	2.5%
4.968	101	2.5%
Other values (224)	2466	59.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.635	3	0.1%
0.636	1	< 0.1%
0.637	1	< 0.1%
0.639	2	< 0.1%
0.64	1	< 0.1%

Value	Count	Frequency (%)
5.045	1	< 0.1%
4.97	21	0.5%
4.968	101	2.5%
4.967	62	1.5%
4.966	72	1.7%

nr.employed
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	11
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5166.481695
Minimum	4963.6
Maximum	5228.1
Zeros	0
Zeros (%)	0.0%
Memory size	32.2 KiB

Quantile statistics

Minimum	4963.6
5-th percentile	5008.7
Q1	5099.1
median	5191
Q3	5228.1
95-th percentile	5228.1
Maximum	5228.1
Range	264.5
Interquartile range (IQR)	129

Descriptive statistics

Standard deviation	73.66790356
Coefficient of variation (CV)	0.01425881439
Kurtosis	0.0617241978
Mean	5166.481695
Median Absolute Deviation (MAD)	37.1
Skewness	-1.075876888
Sum	21280738.1
Variance	5426.960015
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5228.1	1626	39.5%
5099.1	823	20.0%
5191	758	18.4%
5195.8	392	9.5%
5076.2	164	4.0%
5017.5	104	2.5%
4991.6	87	2.1%
4963.6	83	2.0%
5008.7	60	1.5%
5023.5	21	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4963.6	83	2.0%
4991.6	87	2.1%
5008.7	60	1.5%
5017.5	104	2.5%
5023.5	21	0.5%

Value	Count	Frequency (%)
5228.1	1626	39.5%
5195.8	392	9.5%
5191	758	18.4%
5176.3	1	< 0.1%
5099.1	823	20.0%

y
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.2 KiB

no	3668
yes	451

Common Values
Chart

Value	Count	Frequency (%)
no	3668	89.1%
yes	451	10.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y
0	30	blue-collar	married	basic.9y	no	yes	no	cellular	may	fri	487	2	999	0	nonexistent	-1.8	92.893	-46.2	1.313	5099.1	no
1	39	services	single	high.school	no	no	no	telephone	may	fri	346	4	999	0	nonexistent	1.1	93.994	-36.4	4.855	5191.0	no
2	25	services	married	high.school	no	yes	no	telephone	jun	wed	227	1	999	0	nonexistent	1.4	94.465	-41.8	4.962	5228.1	no
3	38	services	married	basic.9y	no	unknown	unknown	telephone	jun	fri	17	3	999	0	nonexistent	1.4	94.465	-41.8	4.959	5228.1	no
4	47	admin.	married	university.degree	no	yes	no	cellular	nov	mon	58	1	999	0	nonexistent	-0.1	93.200	-42.0	4.191	5195.8	no
5	32	services	single	university.degree	no	no	no	cellular	sep	thu	128	3	999	2	failure	-1.1	94.199	-37.5	0.884	4963.6	no
6	32	admin.	single	university.degree	no	yes	no	cellular	sep	mon	290	4	999	0	nonexistent	-1.1	94.199	-37.5	0.879	4963.6	no
7	41	entrepreneur	married	university.degree	unknown	yes	no	cellular	nov	mon	44	2	999	0	nonexistent	-0.1	93.200	-42.0	4.191	5195.8	no
8	31	services	divorced	professional.course	no	no	no	cellular	nov	tue	68	1	999	1	failure	-0.1	93.200	-42.0	4.153	5195.8	no
9	35	blue-collar	married	basic.9y	unknown	no	no	telephone	may	thu	170	1	999	0	nonexistent	1.1	93.994	-36.4	4.855	5191.0	no

Last rows

	age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y
4109	63	retired	married	high.school	no	no	no	cellular	oct	wed	1386	1	999	0	nonexistent	-3.4	92.431	-26.9	0.740	5017.5	no
4110	53	housemaid	divorced	basic.6y	unknown	unknown	unknown	telephone	may	fri	85	2	999	0	nonexistent	1.1	93.994	-36.4	4.855	5191.0	no
4111	30	technician	married	university.degree	no	no	yes	cellular	jun	fri	131	1	999	1	failure	-1.7	94.055	-39.8	0.748	4991.6	no
4112	31	technician	single	professional.course	no	yes	no	cellular	nov	thu	155	1	999	0	nonexistent	-0.1	93.200	-42.0	4.076	5195.8	no
4113	31	admin.	single	university.degree	no	yes	no	cellular	nov	thu	463	1	999	0	nonexistent	-0.1	93.200	-42.0	4.076	5195.8	no
4114	30	admin.	married	basic.6y	no	yes	yes	cellular	jul	thu	53	1	999	0	nonexistent	1.4	93.918	-42.7	4.958	5228.1	no
4115	39	admin.	married	high.school	no	yes	no	telephone	jul	fri	219	1	999	0	nonexistent	1.4	93.918	-42.7	4.959	5228.1	no
4116	27	student	single	high.school	no	no	no	cellular	may	mon	64	2	999	1	failure	-1.8	92.893	-46.2	1.354	5099.1	no
4117	58	admin.	married	high.school	no	no	no	cellular	aug	fri	528	1	999	0	nonexistent	1.4	93.444	-36.1	4.966	5228.1	no
4118	34	management	single	high.school	no	yes	no	cellular	nov	wed	175	1	999	0	nonexistent	-0.1	93.200	-42.0	4.120	5195.8	no

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows